2009

Verifiability: With the representation scheme, it must be possible to compare (or match) the meaning of a sentence against the knowledge base.

Unambiguousness: linguistic input may have several legitimate interpretations. A desired meaning representation should have the ability to tell which are more likely or unlikely

Canonical form: It is desired that sentences with the same meaning should be assigned the same representation

Inference: Inference refers to a system’s ability to draw valid conclusions based on the meaning representation ofinput and/or its store of knowledge

Expressiveness: The expressiveness of a meaning representation language is a measure of the various meanings it candescribe. In principle, there is a very wide range of input and knowledge base.We want a meaning representation method that canaccurately represent any semantic natural language sentences.